大数据导论教材参考文献 - 数据挖掘、机器学习经典书籍推荐 - 常规

Cao, L., Yu, P. S., & Zhang, C. (2013). Data mining for business intelligence: concepts, techniques, and applications in Microsoft Office Excel with XLMiner. John Wiley & Sons.\n2. Han, J., Kamber, M., & Pei, J. (2011). Data mining: concepts and techniques. Elsevier.\n3. Tan, P. N., Steinbach, M., & Kumar, V. (2013). Introduction to data mining. Pearson Education.\n4. Hastie, T., Tibshirani, R., & Friedman, J. (2009). The elements of statistical learning: data mining, inference, and prediction. Springer Science & Business Media.\n5. Aggarwal, C. C. (2015). Data mining: the textbook. Springer.\n6. Witten, I. H., Frank, E., & Hall, M. A. (2016). Data mining: practical machine learning tools and techniques. Morgan Kaufmann.\n7. Mitchell, T. M. (1997). Machine learning. WCB.\n8. Zhang, C., & Ma, Y. (2012). Ensemble machine learning: methods and applications. Springer Science & Business Media.\n9. Bishop, C. M. (2006). Pattern recognition and machine learning. Springer.\n10. Tan, P. N., Steinbach, M., & Kumar, V. (2005). Introduction to data mining. Pearson Education.